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Analysis of academic research data with the use of ATLAS.ti. Experiences of use in the area of Tourism and Hospitality Administration

By
Miriam Viviana Ñañez-Silva ,
Miriam Viviana Ñañez-Silva

Universidad Nacional de Cañete, Facultad de Ciencias Empresariales. Lima, Perú

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Julio Cesar Quispe-Calderón ,
Julio Cesar Quispe-Calderón

Universidad Privada San Juan Bautista, Facultad de Derecho. Lima, Perú

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Patricia Matilde Huallpa-Quispe ,
Patricia Matilde Huallpa-Quispe

Universidad Nacional de Cañete, Facultad de Ciencias Empresariales. Lima, Perú

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Bertha Nancy Larico-Quispe ,
Bertha Nancy Larico-Quispe

Universidad Nacional de Cañete, Facultad de Ciencias Empresariales. Lima, Perú

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Abstract

Qualitative data analysis in academic research is a challenge. In this context, the use of tools such as ATLAS.ti has emerged as a potential solution to improve the understanding and management of data in the analysis of in-depth interviews. The main objective of the research was to analyze the perspectives of Tourism and Hospitality Management students on the use of ATLAS.ti in the analysis of interviews in qualitative research. The methodology employs a qualitative approach and a descriptive-interpretative design. Data were collected through in-depth interviews and focus groups directed to 40 students of the X cycle who conducted this approach in their research to opt for the bachelor’s degree in Tourism and Hospitality Administration during the years 2022 and 2023. The findings reveal that the use of ATLAS.ti in qualitative data analysis is highly beneficial, facilitating the coding, organization, and identification of emerging patterns in in-depth interviews. The relevance of its effective use in qualitative analysis is highlighted, improving data management, and understanding of participants' perspectives. It is concluded that it is a valuable and effective tool in this context, although the need for researchers to acquire a deep understanding of the tool and receive adequate training is emphasized. It is suggested that they focus on continuous training in its use and constant practice of its advanced functionalities, especially in areas such as coding and code creation, to achieve a deeper interpretation of qualitative data.

How to Cite

1.
Ñañez-Silva MV, Quispe-Calderón JC, Huallpa-Quispe PM, Larico-Quispe BN. Analysis of academic research data with the use of ATLAS.ti. Experiences of use in the area of Tourism and Hospitality Administration. Data and Metadata [Internet]. 2024 May 5 [cited 2024 May 24];3:306. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/306

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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